* fix bug when elem cnt in model < split num

* add checker

* let opencv depend on libjpeg-turbo

* fix libjpeg-turbo dependency

* remove copy by itor

* use already existed copy method

* delete forward field override and use CopyField instead

* remove needless

* use libjpeg-turbo

* refine format

* parse /proc/meminfo

* CHECK for getMemInfo

* refine strToToken

* for review

* use onefloe cast

* set regst max=min when same stream

* move fix regst num to task node

* kCudaThreadsNumPerBlock can divided by temp_col_num

* refine type

* __syncthreads only sync threads in a block. we need to split data correctly

* Refactor random generator

* refactor rng

* remove random_generator_.reset if branch

* combine macro and remove const

* add declaration for generalized rng

* remove generalized rng definition

* move data tmp in reduce sum to buf

* change var

* change way to calc buf size in reduce sum

* A BnInOp2Blob wrapper is better than GetOutDiffBlob

* sv

* format

* align alexnet to tf_benchmark

* batch size 480 for 2gpu

* fix resize preprocess

* use cudnn 2d pooling when possible

* fix set pooling 2d desc

* another way to set cudnn pooling tensor desc

* remove useless code

* solve 1D pooling with 3D cudnn api

* unify 2d and 3d cudnn polling config

* fix size_t in decreasing loop index

* refine pooling